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		<title>Machine Learning Takes Flight: Designing Drone Wings for Mars&#8217;s Thin Air</title>
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		<pubDate>Thu, 08 Oct 2026 14:30:21 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[aerodynamics]]></category>
		<category><![CDATA[airfoil design]]></category>
		<category><![CDATA[Computational fluid dynamics]]></category>
		<category><![CDATA[low Reynolds number]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Mars]]></category>
		<category><![CDATA[NACA airfoils]]></category>
		<category><![CDATA[physics-guided neural network]]></category>
		<category><![CDATA[rotorcraft]]></category>
		<category><![CDATA[Space exploration]]></category>
		<category><![CDATA[surrogate models]]></category>
		<category><![CDATA[UAV]]></category>
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					<description><![CDATA[Researchers at UPES Dehradun have combined CFD simulations with machine learning, including a physics-guided neural network, to rapidly optimize drone wing airfoils for flight in Mars's extremely thin atmosphere.]]></description>
		
		
		
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